Blog.

You forecast demand for 1,000 SKUs, and half are slow movers with lots of zeros. Your MAPE looks great, but your warehouse is still full, cash is tied up in inventory, and planners are losing trust in the numbers. Sound familiar? Intermittent demand is one of the most persistent and costly challenges in supply chain forecasting. It shows up in spare parts, seasonal or niche SKUs, luxury and slow-moving goods, and increasingly, in long-tail assortments in retail and e-commerce

The Pressure to Go Green in Logistics Sustainability has become the defining narrative in logistics. Across the world, companies are being asked to rethink how goods are moved, stored, and delivered in light of the climate crisis. The scientific consensus is clear. The   IPCC   Intergovernmental Panel on Climate Change warns that rapid and immediate cuts in emissions are required across every sector, and freight transport is no exception. The panel’s most recent   assessment

The Game-Changer You’re Not Using... Yet Imagine identifying early signs of customer dissatisfaction before they decide to leave, how investors feel before they act, or what your employees truly think before they leave. Sentiment analysis is the key to unlocking these insights, yet many businesses still underutilize its potential. Sentiment analysis, also known as opinion mining, uses AI and machine learning to analyze text data and determine whether the sentiment is positive